Odor Classification using Agent Technology

In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruct...

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Vydané v:Advances in distributed computing and artificial intelligence journal Ročník 2; číslo 4; s. 41 - 48
Hlavní autori: Omatu, Sigeru, Wada, Tatsuyuki, Chamoso, Pablo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Salamanca Ediciones Universidad de Salamanca 10.03.2014
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ISSN:2255-2863, 2255-2863
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Abstract In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed.
AbstractList In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed.
Author Wada, Tatsuyuki
Omatu, Sigeru
Chamoso, Pablo
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Snippet In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are...
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SubjectTerms Classification
Computer architecture
Intelligent agents
multi-agent system
Multiagent systems
odor classification
odor sensing
Odors
Organizational aspects
qcm sensor
Virtual organization
Web services
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